AlphaZetta Academy

Data Literacy Masterclass

With the advent of automation, humans’ role has become to do what computers cannot. Many more white-collar workers—perhaps all of them—will end up “working with data” to some extent.

Using data to provide insights and guidance that computers alone cannot requires “data literacy”, which is doubly important for anyone working alongside, supporting, leading, or hiring a data-science and analytics team.

Data literacy involves a broad range of skills, including:

Appreciating the language of data

Understanding uncertainty (expressed as probabilities) and complexity

Interpreting relationships in data (multivariate correlation) and visual representations of them

Reading visual representations of data

Ability to think rigorously and abstractly about evidence-based decision-making and manipulate data accordingly

This course introduces a range of skills and applications related to critical thinking in areas such as forecasting, population measurement, set theory and logic, causal impact and attribution, scientific reasoning and the danger of cognitive biases.

Additional Information

Audience

C-Suite, Management, Business
This is a must-do course for any white collar professionals looking to add value in the 21st century. This is thus a course of immediate relevance to anyone in all areas including sales, project management, marketing, HR, operations, and others, as well as the senior management suite. It is a also a prerequisite for management-level decision making courses.

Prerequisites

No prior knowledge is required to take this course.

Objective

an appreciation of the language of data

understanding uncertainty (expressed as probabilities) and complexity

interpreting relationships in data (multivariate correlation) and visual representations of them

reading visual representations of data

learn to think rigorously and abstractly about evidence-based decision-making and manipulate data accordingly

Dr Eugene Dubossarsky

Based in Australia, travelling frequently

Eugene is Managing Partner of AlphaZetta Academy and a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the head of the Sydney Data Science group (3,000+ members), the Sydney Users of R Forum (1,900+ members), and Datapreneurs (400+ members). He is regularly invited to be a conference presenter, consultant and advisor, and appears in print and on television to discuss data science and analytics. Eugene also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R.

He is a Director at Presciient, providing analytics capability, development services including team selection, training, and executive coaching for team owners and sponsors. They also provide strategic advisory, communications and specialised advanced data analysis.

This is a must-do course for any white collar professionals looking to add value in the 21st century.

Scheduled Public CoursesBOOK NOW ⇓

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.

Testimonials

Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.

James Beresford, Director, Agile BI

Eugene’s introductory course to data science was outstanding. I found the subject matter and delivery fascinating, accessible and informative. I found Eugene approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.